Skip to main content
Top
Published in: Quality of Life Research 4/2017

01-04-2017

Health-related quality of life associated with systemic corticosteroids

Authors: Patrick W. Sullivan, Vahram H. Ghushchyan, Gary Globe, Brandon Sucher

Published in: Quality of Life Research | Issue 4/2017

Login to get access

Abstract

Background

Systemic corticosteroids (SCS) are commonly used but are associated with adverse effects. Given their prevalent use, the potential impact of SCS use on health-related quality of life (HRQoL) is important to characterize.

Objective

To assess the HRQoL of patients taking SCS.

Methods

The 2000–2003 Medical Expenditure Panel Survey was used to examine EQ-5D and SF-6D scores associated with SCS use in adults. The study sample was restricted to those with a condition for which SCS are prescribed. SCS use was categorized into three levels: none; 1–3; and ≥4 prescriptions per year. HRQoL scores were regressed on SCS use (1–3 or ≥4 annual prescriptions) controlling for age, gender, race, ethnicity, education, income category, geographic region, number of ER visits, number of outpatient visits, total number of chronic conditions (for which SCS are not used) and conditions for which SCS are clinically indicated.

Results

There were 54,856 individuals with no SCS exposure, 2245 with 1–3 and 624 with ≥4 annual SCS prescriptions. In adjusted analyses, use of ≥4 annual SCS prescriptions appeared to be associated with significantly lower EQ-5D (US), EQ-5D (UK), SF-6D and EQ-5D VAS scores compared to no exposure: −0.032, −0.047, −0.036, and −7.58.

Conclusion

While SCS are efficacious and widely used for numerous conditions, results suggest that their use may be associated with a substantial deleterious impact on HRQoL. This potential negative effect should be considered in balance with the cost and efficacy of comparable treatments.
Appendix
Available only for authorised users
Literature
1.
go back to reference Global Initiative for Asthma (GINA) NH, Lung, and Blood Institute (NHLBI). Global strategy for asthma management and prevention. Bethesda, MD2012. Global Initiative for Asthma (GINA) NH, Lung, and Blood Institute (NHLBI). Global strategy for asthma management and prevention. Bethesda, MD2012.
2.
go back to reference Fardet, L., Kassar, A., Cabane, J., & Flahault, A. (2007). Corticosteroid-induced adverse events in adults: Frequency, screening and prevention. Drug Safety, 30(10), 861–881.CrossRefPubMed Fardet, L., Kassar, A., Cabane, J., & Flahault, A. (2007). Corticosteroid-induced adverse events in adults: Frequency, screening and prevention. Drug Safety, 30(10), 861–881.CrossRefPubMed
3.
go back to reference Weiss, A., Elixhauser, A., Bae, J., & Encinosa, W. (2013). Origin of adverse drug events in US Hospitals, 2011. Statistical Brief #158. Rockville, MD: Healthcare Cost and Utilization Project (HCUP). Weiss, A., Elixhauser, A., Bae, J., & Encinosa, W. (2013). Origin of adverse drug events in US Hospitals, 2011. Statistical Brief #158. Rockville, MD: Healthcare Cost and Utilization Project (HCUP).
4.
go back to reference Sarnes, E., Crofford, L., Watson, M., Dennis, G., Kan, H., & Bass, D. (2011). Incidence and US costs of corticosteroid-associated adverse events: A systematic literature review. Clinical Therapeutics, 33(10), 1413–1432.CrossRefPubMed Sarnes, E., Crofford, L., Watson, M., Dennis, G., Kan, H., & Bass, D. (2011). Incidence and US costs of corticosteroid-associated adverse events: A systematic literature review. Clinical Therapeutics, 33(10), 1413–1432.CrossRefPubMed
5.
go back to reference Shah, M., Chaudhari, S., McLaughlin, T. P., et al. (2013). Cumulative burden of oral corticosteroid adverse effects and the economic implications of corticosteroid use in patients with systemic lupus erythematosus. Clinical Therapeutics, 35(4), 486–497.CrossRefPubMed Shah, M., Chaudhari, S., McLaughlin, T. P., et al. (2013). Cumulative burden of oral corticosteroid adverse effects and the economic implications of corticosteroid use in patients with systemic lupus erythematosus. Clinical Therapeutics, 35(4), 486–497.CrossRefPubMed
7.
go back to reference Sullivan, P. W., & Ghushchyan, V. (2006). Preference-based EQ-5D index scores for chronic conditions in the United States. Medical Decision Making, 26(4), 410–420.CrossRefPubMedPubMedCentral Sullivan, P. W., & Ghushchyan, V. (2006). Preference-based EQ-5D index scores for chronic conditions in the United States. Medical Decision Making, 26(4), 410–420.CrossRefPubMedPubMedCentral
8.
go back to reference Brooks, R. G., Jendteg, S., Lindgren, B., Persson, U., & Bjork, S. (1991). EuroQol: Health-related quality of life measurement. Results of the Swedish questionnaire exercise. Health Policy, 18(1), 37–48.CrossRefPubMed Brooks, R. G., Jendteg, S., Lindgren, B., Persson, U., & Bjork, S. (1991). EuroQol: Health-related quality of life measurement. Results of the Swedish questionnaire exercise. Health Policy, 18(1), 37–48.CrossRefPubMed
9.
go back to reference Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005). US valuation of the EQ-5D health states: Development and testing of the D1 valuation model. Medical Care, 43(3), 203–220.CrossRefPubMed Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005). US valuation of the EQ-5D health states: Development and testing of the D1 valuation model. Medical Care, 43(3), 203–220.CrossRefPubMed
10.
go back to reference Dolan, P. (1997). Modeling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.CrossRefPubMed Dolan, P. (1997). Modeling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.CrossRefPubMed
12.
go back to reference Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42(9), 851–859.CrossRefPubMed Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42(9), 851–859.CrossRefPubMed
13.
go back to reference Guyatt, G. H., Osoba, D., Wu, A. W., Wyrwich, K. W., & Norman, G. R. (2002). Methods to explain the clinical significance of health status measures. Mayo Clinic Proceedings, 77(4), 371–383.CrossRefPubMed Guyatt, G. H., Osoba, D., Wu, A. W., Wyrwich, K. W., & Norman, G. R. (2002). Methods to explain the clinical significance of health status measures. Mayo Clinic Proceedings, 77(4), 371–383.CrossRefPubMed
14.
go back to reference Troosters, T. (2011). How important is a minimal difference? European Respiratory Journal, 37(4), 755–756.CrossRefPubMed Troosters, T. (2011). How important is a minimal difference? European Respiratory Journal, 37(4), 755–756.CrossRefPubMed
15.
go back to reference Walters, S. J., & Brazier, J. E. (2005). Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Quality of Life Research, 14(6), 1523–1532.CrossRefPubMed Walters, S. J., & Brazier, J. E. (2005). Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Quality of Life Research, 14(6), 1523–1532.CrossRefPubMed
16.
go back to reference Walters, S. J., & Brazier, J. E. (2003). What is the relationship between the minimally important difference and health state utility values? The case of the SF-6D. Health and Quality of Life Outcomes, 1(1), 4.CrossRefPubMedPubMedCentral Walters, S. J., & Brazier, J. E. (2003). What is the relationship between the minimally important difference and health state utility values? The case of the SF-6D. Health and Quality of Life Outcomes, 1(1), 4.CrossRefPubMedPubMedCentral
17.
go back to reference Sullivan, P. W., Lawrence, W. F., & Ghushchyan, V. (2005). A national catalog of preference-based scores for chronic conditions in the United States. Medical Care, 43(7), 736–749.CrossRefPubMed Sullivan, P. W., Lawrence, W. F., & Ghushchyan, V. (2005). A national catalog of preference-based scores for chronic conditions in the United States. Medical Care, 43(7), 736–749.CrossRefPubMed
18.
go back to reference Grootendorst, P., Feeny, D., & Furlong, W. (2000). Health Utilities Index Mark 3: Evidence of construct validity for stroke and arthritis in a population health survey. Medical Care, 38(3), 290–299.CrossRefPubMed Grootendorst, P., Feeny, D., & Furlong, W. (2000). Health Utilities Index Mark 3: Evidence of construct validity for stroke and arthritis in a population health survey. Medical Care, 38(3), 290–299.CrossRefPubMed
19.
go back to reference Sullivan, P. W., Lawrence, W. F., Jr., & Ghushchyan, V. (2005). A, national catalogue of preference-based scores for chronic conditions in the US. Medical Care, 43(7), 736–749.CrossRefPubMed Sullivan, P. W., Lawrence, W. F., Jr., & Ghushchyan, V. (2005). A, national catalogue of preference-based scores for chronic conditions in the US. Medical Care, 43(7), 736–749.CrossRefPubMed
20.
go back to reference Sullivan, P. W., & Ghushchyan, V. (2006). Mapping the EQ-5D index from the SF-12: US general population preferences in a nationally representative sample. Medical Decision Making, 26(4), 401–409.CrossRefPubMedPubMedCentral Sullivan, P. W., & Ghushchyan, V. (2006). Mapping the EQ-5D index from the SF-12: US general population preferences in a nationally representative sample. Medical Decision Making, 26(4), 401–409.CrossRefPubMedPubMedCentral
21.
go back to reference Powell, J. (1984). Least absolute deviations estimation for the censored regression model. Journal of Econometrics, 25, 303–325.CrossRef Powell, J. (1984). Least absolute deviations estimation for the censored regression model. Journal of Econometrics, 25, 303–325.CrossRef
22.
go back to reference Maddala, G. S. (1999). Limited-dependent and qualitative variables in econometrics. Cambridge: Cambridge University Press. Maddala, G. S. (1999). Limited-dependent and qualitative variables in econometrics. Cambridge: Cambridge University Press.
23.
go back to reference Green, W. H. (2000). Econometric analysis (4th ed.). Upper Saddle River, NJ: Prentice Hall. Green, W. H. (2000). Econometric analysis (4th ed.). Upper Saddle River, NJ: Prentice Hall.
24.
go back to reference Gray, A. M., Rivero-Arias, O., & Clarke, P. M. (2006). Estimating the association between SF-12 responses and EQ-5D utility values by response mapping. Medical Decision Making, 26(1), 18–29.CrossRefPubMed Gray, A. M., Rivero-Arias, O., & Clarke, P. M. (2006). Estimating the association between SF-12 responses and EQ-5D utility values by response mapping. Medical Decision Making, 26(1), 18–29.CrossRefPubMed
25.
go back to reference Hyland, M. E., Whalley, B., Jones, R. C., & Masoli, M. (2015). A qualitative study of the impact of severe asthma and its treatment showing that treatment burden is neglected in existing asthma assessment scales. Quality of Life Research, 24(3), 631–639.CrossRefPubMed Hyland, M. E., Whalley, B., Jones, R. C., & Masoli, M. (2015). A qualitative study of the impact of severe asthma and its treatment showing that treatment burden is neglected in existing asthma assessment scales. Quality of Life Research, 24(3), 631–639.CrossRefPubMed
26.
go back to reference Fardet, L., Flahault, A., Kettaneh, A., et al. (2007). Corticosteroid-induced clinical adverse events: Frequency, risk factors and patient’s opinion. British Journal of Dermatology, 157(1), 142–148.CrossRefPubMed Fardet, L., Flahault, A., Kettaneh, A., et al. (2007). Corticosteroid-induced clinical adverse events: Frequency, risk factors and patient’s opinion. British Journal of Dermatology, 157(1), 142–148.CrossRefPubMed
27.
go back to reference Brown, E. S., & Chandler, P. A. (2001). Mood and cognitive changes during systemic corticosteroid therapy. Prim Care Companion Journal of Clinical Psychiatry, 3(1), 17–21.CrossRef Brown, E. S., & Chandler, P. A. (2001). Mood and cognitive changes during systemic corticosteroid therapy. Prim Care Companion Journal of Clinical Psychiatry, 3(1), 17–21.CrossRef
28.
go back to reference Basch, E., Reeve, B. B., Mitchell, S. A., et al. (2014). Development of the National Cancer Institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE). Journal of the National Cancer Institute. doi:10.1093/jnci/dju244. Basch, E., Reeve, B. B., Mitchell, S. A., et al. (2014). Development of the National Cancer Institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE). Journal of the National Cancer Institute. doi:10.​1093/​jnci/​dju244.
Metadata
Title
Health-related quality of life associated with systemic corticosteroids
Authors
Patrick W. Sullivan
Vahram H. Ghushchyan
Gary Globe
Brandon Sucher
Publication date
01-04-2017
Publisher
Springer International Publishing
Published in
Quality of Life Research / Issue 4/2017
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1435-y

Other articles of this Issue 4/2017

Quality of Life Research 4/2017 Go to the issue